{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:XXFF5S7RXAELYFUFFCWZ7GOA6L","short_pith_number":"pith:XXFF5S7R","canonical_record":{"source":{"id":"1907.05458","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-07-11T19:27:37Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"7fa841cc4581688ad75ec89761f6ee6574eaa246d0cab613814b331e244feee7","abstract_canon_sha256":"1464edf02b0ce61f31e8426ef6a298e0307f223fba5f4d4afe4a316aa785c375"},"schema_version":"1.0"},"canonical_sha256":"bdca5ecbf1b808bc168528ad9f99c0f2ec546911c31c71b3c8450c6ecab20a57","source":{"kind":"arxiv","id":"1907.05458","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.05458","created_at":"2026-05-17T23:40:48Z"},{"alias_kind":"arxiv_version","alias_value":"1907.05458v1","created_at":"2026-05-17T23:40:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.05458","created_at":"2026-05-17T23:40:48Z"},{"alias_kind":"pith_short_12","alias_value":"XXFF5S7RXAEL","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XXFF5S7RXAELYFUF","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XXFF5S7R","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:XXFF5S7RXAELYFUFFCWZ7GOA6L","target":"record","payload":{"canonical_record":{"source":{"id":"1907.05458","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-07-11T19:27:37Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"7fa841cc4581688ad75ec89761f6ee6574eaa246d0cab613814b331e244feee7","abstract_canon_sha256":"1464edf02b0ce61f31e8426ef6a298e0307f223fba5f4d4afe4a316aa785c375"},"schema_version":"1.0"},"canonical_sha256":"bdca5ecbf1b808bc168528ad9f99c0f2ec546911c31c71b3c8450c6ecab20a57","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:48.365731Z","signature_b64":"CYncramp/74YAKQzgBzHjC3oQU0SWj4d74Lv201kRjXBHLvgKP8HY4ZDtZX40mji/2sZgmldMAHfQkUZRbY2AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bdca5ecbf1b808bc168528ad9f99c0f2ec546911c31c71b3c8450c6ecab20a57","last_reissued_at":"2026-05-17T23:40:48.364941Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:48.364941Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.05458","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:40:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A23N9QypjPP+NWEf3WM31+/OGUoMyvEtSQcKlPMaKMQlXgzbWp3PXTXeYdbRgyeQyWSh4pCmJ3DfRGETJDmtCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T14:32:45.653455Z"},"content_sha256":"7ce127e60d52cf08958217503e1dac799ef6294cf322341c64efe44f50be8f96","schema_version":"1.0","event_id":"sha256:7ce127e60d52cf08958217503e1dac799ef6294cf322341c64efe44f50be8f96"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:XXFF5S7RXAELYFUFFCWZ7GOA6L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Scalable Panel Fusion Using Distributed Min Cost Flow","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"stat.AP","authors_text":"Jukka Ranta, Matthew Malloy, Paul Deitrick, Swapnil Shinde","submitted_at":"2019-07-11T19:27:37Z","abstract_excerpt":"Modern audience measurement requires combining observations from disparate panel datasets. Connecting and relating such panel datasets is a process termed panel fusion. This paper formalizes the panel fusion problem and presents a novel approach to solve it. We cast the panel fusion as a network flow problem, allowing the application of a rich body of research. In the context of digital audience measurement, where panel sizes can grow into the tens of millions, we propose an efficient algorithm to partition the network into sub-problems. While the algorithm solves a relaxed version of the orig"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.05458","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:40:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UafPMqDu1+4oBKUpfZVZLrBW+BLvV8x7D2S166wRV4AUOa6E5Qnj/HahqPQ47hj7LONxydX3xZ3c5DWn6tNsAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T14:32:45.653806Z"},"content_sha256":"e0ac73561290d84d51a2cf960777258325f41a5281d009bee8c5cc6dea169dae","schema_version":"1.0","event_id":"sha256:e0ac73561290d84d51a2cf960777258325f41a5281d009bee8c5cc6dea169dae"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XXFF5S7RXAELYFUFFCWZ7GOA6L/bundle.json","state_url":"https://pith.science/pith/XXFF5S7RXAELYFUFFCWZ7GOA6L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XXFF5S7RXAELYFUFFCWZ7GOA6L/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-11T14:32:45Z","links":{"resolver":"https://pith.science/pith/XXFF5S7RXAELYFUFFCWZ7GOA6L","bundle":"https://pith.science/pith/XXFF5S7RXAELYFUFFCWZ7GOA6L/bundle.json","state":"https://pith.science/pith/XXFF5S7RXAELYFUFFCWZ7GOA6L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XXFF5S7RXAELYFUFFCWZ7GOA6L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:XXFF5S7RXAELYFUFFCWZ7GOA6L","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1464edf02b0ce61f31e8426ef6a298e0307f223fba5f4d4afe4a316aa785c375","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-07-11T19:27:37Z","title_canon_sha256":"7fa841cc4581688ad75ec89761f6ee6574eaa246d0cab613814b331e244feee7"},"schema_version":"1.0","source":{"id":"1907.05458","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.05458","created_at":"2026-05-17T23:40:48Z"},{"alias_kind":"arxiv_version","alias_value":"1907.05458v1","created_at":"2026-05-17T23:40:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.05458","created_at":"2026-05-17T23:40:48Z"},{"alias_kind":"pith_short_12","alias_value":"XXFF5S7RXAEL","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XXFF5S7RXAELYFUF","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XXFF5S7R","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:e0ac73561290d84d51a2cf960777258325f41a5281d009bee8c5cc6dea169dae","target":"graph","created_at":"2026-05-17T23:40:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Modern audience measurement requires combining observations from disparate panel datasets. Connecting and relating such panel datasets is a process termed panel fusion. This paper formalizes the panel fusion problem and presents a novel approach to solve it. We cast the panel fusion as a network flow problem, allowing the application of a rich body of research. In the context of digital audience measurement, where panel sizes can grow into the tens of millions, we propose an efficient algorithm to partition the network into sub-problems. While the algorithm solves a relaxed version of the orig","authors_text":"Jukka Ranta, Matthew Malloy, Paul Deitrick, Swapnil Shinde","cross_cats":["cs.DB"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-07-11T19:27:37Z","title":"Scalable Panel Fusion Using Distributed Min Cost Flow"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.05458","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:7ce127e60d52cf08958217503e1dac799ef6294cf322341c64efe44f50be8f96","target":"record","created_at":"2026-05-17T23:40:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1464edf02b0ce61f31e8426ef6a298e0307f223fba5f4d4afe4a316aa785c375","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-07-11T19:27:37Z","title_canon_sha256":"7fa841cc4581688ad75ec89761f6ee6574eaa246d0cab613814b331e244feee7"},"schema_version":"1.0","source":{"id":"1907.05458","kind":"arxiv","version":1}},"canonical_sha256":"bdca5ecbf1b808bc168528ad9f99c0f2ec546911c31c71b3c8450c6ecab20a57","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bdca5ecbf1b808bc168528ad9f99c0f2ec546911c31c71b3c8450c6ecab20a57","first_computed_at":"2026-05-17T23:40:48.364941Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:48.364941Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CYncramp/74YAKQzgBzHjC3oQU0SWj4d74Lv201kRjXBHLvgKP8HY4ZDtZX40mji/2sZgmldMAHfQkUZRbY2AA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:48.365731Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.05458","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ce127e60d52cf08958217503e1dac799ef6294cf322341c64efe44f50be8f96","sha256:e0ac73561290d84d51a2cf960777258325f41a5281d009bee8c5cc6dea169dae"],"state_sha256":"c4afdbc6894c3641364ed595fd536bfb11fb04d40e3a59b9b2eae6016a09360e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7hqEMVTPSsHemcmsKoQPFm1FU569zgRh8DNF7CkF7BGDCOiJqBGaTVfquO8Ek9OdwHpypazGwEV6SJoDhoXgBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T14:32:45.655734Z","bundle_sha256":"93ded6c1ce84286e31f9c1b4feb2762c0686b12908f9e93d5842a70fc0678d66"}}